VOGO eBS · Intelligence Suite 4 Production AI, ETL & Business Intelligence for Manufacturing

VOGO eBS Intelligence Suite for Manufacturing

VOGO eBS – Enterprise Business Suite 4 Production is an integrated platform for production planning optimisation, enterprise integration, order optimisation and intelligent real-time data analysis. AI Powered.
One Suite. Unlimited possibilities.

AI PoweredAgentic AI, RAG and MCP on your own data
ETL & Data WarehouseApache NiFi + PostgreSQL
BI & DashboardingAdvanced real-time reporting
Enterprise integrationWSO2 — API, ESB & Management

VOGO® eBS Intelligence Suite 4 Production brings your production, trading and raw material data together in a single platform, consolidates it through an ETL flow into a central data warehouse and turns it into decisions: management dashboards, operational alerts and 10 specialised AI capabilities — from demand forecasting and advanced planning and scheduling (APS) to computer-vision quality control and a conversational assistant on your production data.

Functional coverage

One ecosystem, three business areas

The same data, the same platform — from procurement and raw material traceability, through production, to sales and distribution.

Production

  • Production planning
  • Recipes
  • Finished goods
  • Semi-finished goods
  • Production orders
  • Direct and indirect costs
  • Consumption

Trading

  • Sales
  • Own network
  • Distributors
  • Export
  • Logistics
  • Deliveries
  • Invoicing
  • Commercial analysis
  • Partner portal
  • Mobile apps

Raw materials

  • Supply
  • Procurement
  • Stock
  • Goods receipt
  • Batches and expiry dates
  • Traceability
  • Warehouse
  • Management
Data integration & orchestration

The technologies the suite runs on

Enterprise components, open standards and AI trained on your data — not a closed product, but a platform that integrates with what your company already has.

Data, integration & reporting

Data integration & orchestration (ETL) — Apache NiFi Data warehouse — PostgreSQL Business Intelligence & advanced dashboarding WSO2 Integrator — API, ESB & Management Source connectors: production software, ERP, Excel Data cleansing, validation and standardisation Subject-area data marts by business domain Full history, data consistency and quality Standard and ad-hoc reports Multidimensional analysis & drill-down KPI monitoring, alerts and notifications Traceability & audit — logs, change history Controlled access — roles and permissions Backup & recovery, availability and continuity

Artificial intelligence

Trained agentic AI RAG on recipes and history MCP — raw materials, stock, sales and trading Demand forecasting with seasonality Advanced planning and scheduling (APS) Process anomaly detection Scrap prediction and minimisation Quality control (computer vision) Recipe and yield optimisation Root-cause analysis (OEE) Conversational assistant on production data
Conceptual architecture

AI, ETL & BI integration

From your existing operational systems, through ETL and the central data warehouse, to dashboards, AI and business users — with security and governance along the whole chain.

Conceptual architecture for AI, ETL & BI integration

Click the image to view it at full size.

Operational data sourcesProduction software (production, recipes, raw materials, consumption, batches, traceability, stock), sales and accounting ERP, Microsoft Excel and other systems.
ETL — extract, transform, loadData collection from the sources, cleansing, validation, standardisation and enrichment, then loading into the analytical layer.
Data platform (analytical layer)A data warehouse with full history, consistency and quality, plus subject-area data marts: sales, production, costs, stock, finance, procurement.
Business IntelligenceManagement dashboards, standard and ad-hoc reports, multidimensional analysis, KPI monitoring, alerts and notifications.
Artificial intelligenceDemand forecasting, planning recommendations, stock and order optimisation, anomaly detection, simulations and scenarios, continuous learning from data.
UsersManagement (strategic decisions), Production (planning & execution), Finance and accounting, Procurement, Sales/Commercial.
Security & governanceControlled access, roles and permissions, data quality, traceability & audit, backup and recovery, compliance with policies and regulations.
Clearly separated flowsOperational flows, ETL flows, analytical flows, information/report flows and BI ↔ AI interactions.
AI for manufacturing

Advanced capabilities - AI powered, RAG, MCP, Production Agentic

Raw materials, stock, production, sales, trading and seasonality — a single AI engine that learns continuously from your company's data.

Raw materials Stock Production Sales Trading Seasonality ERP systems IoT & sensors Files & documents
1

Demand forecasting

Time-series models on sales history that separate trend from seasonality and correlate with promotions, the calendar and the order book. Configurable horizon, by SKU, channel and customer.

Data: sales, open orders, trading, seasonality, prices
Result: a more accurate plan, fewer stock-outs and less dead stock
2

Advanced planning and scheduling (APS)

Generates the production plan and the sequencing across lines and machines while respecting capacity, set-up times, raw material availability and promised dates. Multi-objective optimisation.

Data: orders, recipes and BOMs, routings, capacities, stock, calendar
Result: higher on-time delivery, shorter set-up times and less work in progress
3

Predictive maintenance

Estimates the probability of failure and the optimal intervention window from operating hours, failure history and process signals, to prevent unplanned stoppages.

Data: machine counters, maintenance history, alarms, sensors
Result: fewer unplanned stoppages, maintenance scheduled outside peak times
4

Visual quality control (computer vision)

Automated in-line inspection: surface defects, dimensional deviations, incorrect labelling, missing components. Classification by defect type, with an adjustable confidence threshold and retraining from rejects.

Data: line images, product specifications, non-conformity history
Result: scrap caught earlier, fewer customer complaints
5

Process anomaly detection

Tracks process parameters in real time and flags deviations from the learned normal behaviour, including combinations of parameters that look within limits individually.

Data: process parameters, recipes, batches, consumption
Result: intervention before non-conforming output is produced, reduced variability
6

Scrap prediction

Estimates the expected scrap per order or batch before release, based on the recipe, the allocated raw material batch and its supplier, the machine, the crew and the working conditions.

Data: raw material batches, recipes, production history, parameters
Result: correctly sized release quantities, predictable unit cost
7

Recipe and yield optimisation

Searches for the combination of proportions and parameters that maximises yield at minimum cost, within the required quality limits. Compares actual yield with theoretical yield by recipe, machine and batch.

Data: recipes, consumption, yields, raw material prices, batch quality
Result: lower specific consumption, lower material cost per unit
8

Delivery date prediction

Calculates a realistic delivery date at quotation time, based on actual capacity load, raw material availability, historical lead times and logistics.

Data: orders, capacity, stock, supplier lead times, transport
Result: credible promised dates, customer trust and loyalty
9

Root-cause analysis (OEE)

Breaks OEE losses down into availability, performance and quality, then automatically classifies the causes by machine, shift, product and batch, ranked by their impact in time and cost.

Data: stoppages and micro-stoppages, speeds, scrap, shifts, orders
Result: improvements correctly prioritised, capacity recovered
10

Conversational assistant on production data

Natural-language questions on your own data: RAG on recipes and technical documentation, plus live access through MCP to stock, orders, sales and trading. Answers with figures, the data source and proposed actions.

Data: live ERP through MCP, documents and procedures through RAG
Result: answers in seconds, without building a dedicated report
Better accuracyA plan close to reality
Lower costsOptimised consumption and stock
Better qualityScrap caught early
Predictable deliveryCredible promised dates
Capacity recoveredRising OEE

AI for manufacturing — from input data to business outcomes

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Business Intelligence

Intelligent Business Suite 4 Production: predefined dashboards

Real examples from implementations: management, orders, AI planning and drill-down analysis. Click any image to view it at full size.

General BI dashboard

A unified view for management, production, sales, stock and costs: KPIs, monthly trends, sales mix, critical stock, deliveries and alerts.

Production planning optimisation — AI Powered

Intelligent optimisation based on orders, stock, capacity and seasonality: AI recommendations, plan distribution across lines, estimated dates and compared scenarios.

Store orders

Monitoring and analysis of orders from the store network: value trends, channels, top stores and products, orders by day of the month.

Store orders & production planning (AI)

From demand to the optimal production plan: demand coverage, line loading, shortfall details, AI recommendations and operational alerts.

Drill-down analysis & Top 10

Detailed exploration of performance by product, customer, store and category: drill-down into subcategories, ABC / Pareto analysis, exceptions and outliers.

BI dashboard catalogue

Examples of pages and analytical perspectives available in the BI suite, configurable module by module according to role, processes and objectives.

Dashboard catalogue

Further BI dashboards available

These dashboards can be configured module by module according to role, processes and the organisation's objectives.

01

Executive Overview

Key KPIs, trends, alerts and conclusions for management.

02

Operational Control Tower

A centralised view of orders, production, stock, deliveries and incidents.

03

Production Cockpit

Capacity, OEE, yield, scrap and plan versus actual.

04

Cost & Profitability

Planned versus actual costs, margins and profitability by product or customer.

05

Stocks & Traceability

Stock, batches, shelf life, FEFO/FIFO and full traceability.

06

Supply Chain & Procurement

Suppliers, raw materials, lead times, prices and supply risk.

07

Sales & Customer Analytics

Sales by store, customer, product, region and channel.

08

AI Recommendations Center

Prioritised recommendations, estimated impact and actions proposed by AI.

09

Scenario Simulator

Scenario comparison: minimum cost, minimum stock, fast delivery or maximum capacity.

10

Alerts & Exceptions

Operational alerts, exceptions, severity, owner and status.

11

Comparative Analysis

Comparisons between periods, plants, stores, lines or regions.

12

Mobile Executive Dashboard

A compact version for mobile phones, with KPIs, alerts and quick access to details.

Trust & compliance

Certifications and standards

A platform developed and hosted in the European Union, built on quality, security and service management standards.

ISO 9001ISO 9001
ISO 27001ISO 27001
ISO 20000-1ISO 20000-1
IMAB — International Management Accreditation BoardIMAB
RS 8000 — Responsible Supply ChainRS 8000
EUIPO — European Union Intellectual Property OfficeEUIPO
SOC 2 ReadySOC 2 Ready
GDPR by DesignGDPR by Design
Hosted in EU Made in EUROPE

Thank you!

We are ready for a practical discussion about your AI, ETL & Business Intelligence needs in manufacturing. We clarify the business requirements, identify the relevant VOGO eBS modules and define the next steps together for a high-impact, scalable and secure implementation.

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